Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.
The first Geekbench 6 result for a 16-inch MacBook Pro with the M5 Max chip surfaced today, and Apple has achieved record-breaking performance. In this unconfirmed result, the M5 Max with an 18-core ...